SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM
書誌事項
- 公開日
- 2019-06-19
- 権利情報
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- https://creativecommons.org/licenses/by/4.0
- https://creativecommons.org/licenses/by/4.0
- DOI
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- 10.1038/s42003-019-0437-z
- 公開者
- Springer Science and Business Media LLC
説明
<jats:title>Abstract</jats:title> <jats:p> Selecting particles from digital micrographs is an essential step in single-particle electron cryomicroscopy (cryo-EM). As manual selection of complete datasets—typically comprising thousands of particles—is a tedious and time-consuming process, numerous automatic particle pickers have been developed. However, non-ideal datasets pose a challenge to particle picking. Here we present the particle picking software crYOLO which is based on the deep-learning object detection system You Only Look Once (YOLO). After training the network with 200–2500 particles per dataset it automatically recognizes particles with high recall and precision while reaching a speed of up to five micrographs per second. Further, we present a general crYOLO network able to pick from previously unseen datasets, allowing for completely automated on-the-fly cryo-EM data preprocessing during data acquisition. crYOLO is available as a standalone program under <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://sphire.mpg.de/">http://sphire.mpg.de/</jats:ext-link> and is distributed as part of the image processing workflow in SPHIRE. </jats:p>
収録刊行物
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- Communications Biology
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Communications Biology 2 (1), 218-, 2019-06-19
Springer Science and Business Media LLC
